Multi-Layer Perceptron
Physics-Informed Neural Networks (PINNs)
DeepONet: Operator Learning with Neural Networks
Differentiable Simulation
Graph Neural Network
Lab Setup

Interactive Demo: Gradient Descent

Gradient Descent Animation

Three scenarios showing different learning rates and their effects on convergence. Function: f(x) = x⁴ - 6x² + 3x

1. Oscillating (LR = 0.14)
2. Stuck in Local Minimum (LR = 0.0005)
3. Converging (LR = 0.07)
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CVW material development is supported by NSF OAC awards 1854828, 2321040, 2323116 (UT Austin) and 2005506 (Indiana University)